Instructions to use universalner/uner_cro_set with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_cro_set with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_cro_set")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_cro_set") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_cro_set") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9921047909563969, | |
| "eval_f1": 0.9348627611634575, | |
| "eval_loss": 0.048187438398599625, | |
| "eval_precision": 0.9337152209492635, | |
| "eval_recall": 0.9360131255127153, | |
| "eval_runtime": 2.8467, | |
| "eval_samples": 961, | |
| "eval_samples_per_second": 337.589, | |
| "eval_steps_per_second": 21.429 | |
| } |